Stefania Landi
Biographic Data
| ID | 100946 |
|---|---|
| NAME | Stefania Landi |
| GIVEN NAMES | Stefania |
| FAMILY NAME | Landi |
| SIGNATURE | LANDI S |
| AFFILIATIONS | University of Pisa |
| ORCID | 0000-0002-3822-4451 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Gamification in Psychiatry
BACKGROUND: Gamification, the strategic application of game design elements in non-game environments, has become increasingly prominent in digital mental health. It aims to enhance user engagement, motivation, and adherence through mechanisms such as points, feedback systems, rewards, and narrative frameworks. While it shows promise in promoting therapeutic engagement, the empirical foundation of its use in psychiatric treatment remains limited. …
Proximity-based solutions for optimizing autism spectrum disorder treatment
Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, presenting challenges in social communication, repetitive behaviors, and sensory processing. Despite its prevalence, diagnosis can be lengthy, and access to appropriate treatment varies greatly. This project utilizes the power of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve Autism Spectrum Disorder diagnosis and treatme…
Reusing grain silos from the 1930s in Italy. A multi-criteria decision analysis for the case of Arezzo
Reusing grain silos from the 1930s in Italy. A multi-criteria decision analysis for the case of Arezzo
Gamification in Psychiatry
BACKGROUND: Gamification, the strategic application of game design elements in non-game environments, has become increasingly prominent in digital mental health. It aims to enhance user engagement, motivation, and adherence through mechanisms such as points, feedback systems, rewards, and narrative frameworks. While it shows promise in promoting therapeutic engagement, the empirical foundation of its use in psychiatric treatment remains limited. …
Proximity-based solutions for optimizing autism spectrum disorder treatment
Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, presenting challenges in social communication, repetitive behaviors, and sensory processing. Despite its prevalence, diagnosis can be lengthy, and access to appropriate treatment varies greatly. This project utilizes the power of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve Autism Spectrum Disorder diagnosis and treatme…
Computer Science (2 works) · Adaptive Reuse (1 works) · Archaeology (1 works) · Architectural engineering (1 works) · Artificial Intelligence (1 works) · Autism (1 works) · Autism spectrum disorder (1 works) · Autism Spectrum Disorder Research (1 works) · Business (1 works) · Conservation Techniques and Studies (1 works)